Chilkat Online Tools

C# / Datadog API Collection / Create a monitor

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// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.

Chilkat.Http http = new Chilkat.Http();
bool success;

// Use this online tool to generate code from sample JSON: Generate Code to Create JSON

// The following JSON is sent in the request body.

// {
//   "message": "You may need to add web hosts if this is consistently high.",
//   "name": "Bytes received on host0",
//   "options": {
//     "no_data_timeframe": 20,
//     "notify_no_data": true
//   },
//   "query": "avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100",
//   "tags": [
//     "app:webserver",
//     "frontend"
//   ],
//   "type": "query alert"
// }

Chilkat.JsonObject json = new Chilkat.JsonObject();
json.UpdateString("message","You may need to add web hosts if this is consistently high.");
json.UpdateString("name","Bytes received on host0");
json.UpdateInt("options.no_data_timeframe",20);
json.UpdateBool("options.notify_no_data",true);
json.UpdateString("query","avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100");
json.UpdateString("tags[0]","app:webserver");
json.UpdateString("tags[1]","frontend");
json.UpdateString("type","query alert");

http.SetRequestHeader("Content-Type","application/json");
http.SetRequestHeader("Accept","application/json");

Chilkat.HttpResponse resp = http.PostJson3("https://api.app.ddog-gov.com/api/v1/monitor","application/json",json);
if (http.LastMethodSuccess == false) {
    Debug.WriteLine(http.LastErrorText);
    return;
}

Chilkat.StringBuilder sbResponseBody = new Chilkat.StringBuilder();
resp.GetBodySb(sbResponseBody);

Chilkat.JsonObject jResp = new Chilkat.JsonObject();
jResp.LoadSb(sbResponseBody);
jResp.EmitCompact = false;

Debug.WriteLine("Response Body:");
Debug.WriteLine(jResp.Emit());

int respStatusCode = resp.StatusCode;
Debug.WriteLine("Response Status Code = " + Convert.ToString(respStatusCode));
if (respStatusCode >= 400) {
    Debug.WriteLine("Response Header:");
    Debug.WriteLine(resp.Header);
    Debug.WriteLine("Failed.");

    return;
}

// Sample JSON response:
// (Sample code for parsing the JSON response is shown below)

// {
//   "type": "query alert",
//   "query": "avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100",
//   "created": "1989-12-01T14:28:43.831Z",
//   "creator": {
//     "email": "officia sunt",
//     "handle": "pariatur",
//     "name": "aute do"
//   },
//   "deleted": "2020-10-30T20:46:24.520Z",
//   "id": -50675854,
//   "matching_downtimes": [
//     {
//       "id": 1625,
//       "end": 1412792983,
//       "scope": [
//         "env:staging"
//       ],
//       "start": 1412792983
//     },
//     {
//       "id": 1625,
//       "end": 1412792983,
//       "scope": [
//         "env:staging"
//       ],
//       "start": 1412792983
//     }
//   ],
//   "message": "ullamco incididunt cupidatat",
//   "modified": "1981-03-27T05:04:03.098Z",
//   "multi": false,
//   "name": "My monitor",
//   "options": {
//     "aggregation": {
//       "group_by": "host",
//       "metric": "metrics.name",
//       "type": "count"
//     },
//     "device_ids": [
//       "mobile_small",
//       "chrome.tablet"
//     ],
//     "enable_logs_sample": false,
//     "enable_samples": false,
//     "escalation_message": "none",
//     "evaluation_delay": -52819274,
//     "group_retention_duration": "dolor Lorem qui",
//     "groupby_simple_monitor": false,
//     "include_tags": true,
//     "locked": false,
//     "min_failure_duration": 0,
//     "min_location_failed": 1,
//     "new_group_delay": -94315945,
//     "new_host_delay": 300,
//     "no_data_timeframe": -86360342,
//     "notification_preset_name": "show_all",
//     "notify_audit": false,
//     "notify_by": [
//       "labore dolore",
//       "deserunt commodo consectetur"
//     ],
//     "notify_no_data": false,
//     "on_missing_data": "resolve",
//     "renotify_interval": null,
//     "renotify_occurrences": 56355858,
//     "renotify_statuses": [
//       "warn",
//       "no data"
//     ],
//     "require_full_window": false,
//     "scheduling_options": {
//       "evaluation_window": {
//         "day_starts": "04:00",
//         "hour_starts": 0,
//         "month_starts": 1
//       }
//     },
//     "silenced": {
//       "non_6f_": 77287100
//     },
//     "synthetics_check_id": "culpa in laborum irure",
//     "threshold_windows": {
//       "recovery_window": "culpa cupidatat Lorem ut",
//       "trigger_window": "fugiat officia mollit esse quis"
//     },
//     "thresholds": {
//       "critical": -44507487.0891542,
//       "critical_recovery": 94365870.17342958,
//       "ok": 26645340.31156695,
//       "unknown": -32772943.396166816,
//       "warning": 75330874.10211122,
//       "warning_recovery": 30665996.226613894
//     },
//     "timeout_h": null,
//     "variables": [
//       {
//         "data_source": "rum",
//         "compute": {
//           "aggregation": "avg",
//           "interval": 60000,
//           "metric": "@duration"
//         },
//         "name": "query_errors",
//         "group_by": [
//           {
//             "facet": "status",
//             "limit": 10,
//             "sort": {
//               "aggregation": "avg",
//               "metric": "minim tempor i",
//               "order": "desc"
//             }
//           },
//           {
//             "facet": "status",
//             "limit": 10,
//             "sort": {
//               "aggregation": "avg",
//               "metric": "Ut fugiat officia",
//               "order": "desc"
//             }
//           }
//         ],
//         "indexes": [
//           "days-3",
//           "days-7"
//         ],
//         "search": {
//           "query": "service:query"
//         }
//       },
//       {
//         "data_source": "rum",
//         "compute": {
//           "aggregation": "avg",
//           "interval": 60000,
//           "metric": "@duration"
//         },
//         "name": "query_errors",
//         "group_by": [
//           {
//             "facet": "status",
//             "limit": 10,
//             "sort": {
//               "aggregation": "avg",
//               "metric": "do velit",
//               "order": "desc"
//             }
//           },
//           {
//             "facet": "status",
//             "limit": 10,
//             "sort": {
//               "aggregation": "avg",
//               "metric": "amet proident anim in",
//               "order": "desc"
//             }
//           }
//         ],
//         "indexes": [
//           "days-3",
//           "days-7"
//         ],
//         "search": {
//           "query": "service:query"
//         }
//       }
//     ]
//   },
//   "overall_state": "Warn",
//   "priority": 1,
//   "restricted_roles": [
//     "enim qui cillum est",
//     "quis ut"
//   ],
//   "state": {
//     "groups": {
//       "Lorem_1": {
//         "last_nodata_ts": -12653992,
//         "last_notified_ts": -66141067,
//         "last_resolved_ts": 5643925,
//         "last_triggered_ts": -6121593,
//         "name": "dolore nulla i",
//         "status": "OK"
//       },
//       "nisi_c43": {
//         "last_nodata_ts": -66061060,
//         "last_notified_ts": -86988012,
//         "last_resolved_ts": -39919633,
//         "last_triggered_ts": 13467862,
//         "name": "Ut fugiat eiusmod anim",
//         "status": "Ignored"
//       },
//       "minim_c": {
//         "last_nodata_ts": 6509669,
//         "last_notified_ts": 39348490,
//         "last_resolved_ts": 13221088,
//         "last_triggered_ts": 21889420,
//         "name": "in velit Duis",
//         "status": "Alert"
//       }
//     }
//   },
//   "tags": [
//     "ex tempor",
//     "enim veniam dolore"
//   ]
// }

// Sample code for parsing the JSON response...
// Use this online tool to generate parsing code from sample JSON: Generate JSON Parsing Code

int v_end;
int start;
int j;
int count_j;
string strVal;
string data_source;
string Aggregation;
int Interval;
string computeMetric;
string Query;
string facet;
int limit;
string sortAggregation;
string sortMetric;
string Order;

string v_type = jResp.StringOf("type");
string query = jResp.StringOf("query");
string created = jResp.StringOf("created");
string v_Email = jResp.StringOf("creator.email");
string Handle = jResp.StringOf("creator.handle");
string Name = jResp.StringOf("creator.name");
string deleted = jResp.StringOf("deleted");
int id = jResp.IntOf("id");
string message = jResp.StringOf("message");
string modified = jResp.StringOf("modified");
bool multi = jResp.BoolOf("multi");
string name = jResp.StringOf("name");
string Group_by = jResp.StringOf("options.aggregation.group_by");
string Metric = jResp.StringOf("options.aggregation.metric");
string v_Type = jResp.StringOf("options.aggregation.type");
bool Enable_logs_sample = jResp.BoolOf("options.enable_logs_sample");
bool Enable_samples = jResp.BoolOf("options.enable_samples");
string Escalation_message = jResp.StringOf("options.escalation_message");
int Evaluation_delay = jResp.IntOf("options.evaluation_delay");
string Group_retention_duration = jResp.StringOf("options.group_retention_duration");
bool Groupby_simple_monitor = jResp.BoolOf("options.groupby_simple_monitor");
bool Include_tags = jResp.BoolOf("options.include_tags");
bool Locked = jResp.BoolOf("options.locked");
int Min_failure_duration = jResp.IntOf("options.min_failure_duration");
int Min_location_failed = jResp.IntOf("options.min_location_failed");
int New_group_delay = jResp.IntOf("options.new_group_delay");
int New_host_delay = jResp.IntOf("options.new_host_delay");
int No_data_timeframe = jResp.IntOf("options.no_data_timeframe");
string Notification_preset_name = jResp.StringOf("options.notification_preset_name");
bool Notify_audit = jResp.BoolOf("options.notify_audit");
bool Notify_no_data = jResp.BoolOf("options.notify_no_data");
string On_missing_data = jResp.StringOf("options.on_missing_data");
string Renotify_interval = jResp.StringOf("options.renotify_interval");
int Renotify_occurrences = jResp.IntOf("options.renotify_occurrences");
bool Require_full_window = jResp.BoolOf("options.require_full_window");
string Day_starts = jResp.StringOf("options.scheduling_options.evaluation_window.day_starts");
int Hour_starts = jResp.IntOf("options.scheduling_options.evaluation_window.hour_starts");
int Month_starts = jResp.IntOf("options.scheduling_options.evaluation_window.month_starts");
int Non_6f_ = jResp.IntOf("options.silenced.non_6f_");
string Synthetics_check_id = jResp.StringOf("options.synthetics_check_id");
string Recovery_window = jResp.StringOf("options.threshold_windows.recovery_window");
string Trigger_window = jResp.StringOf("options.threshold_windows.trigger_window");
string Critical = jResp.StringOf("options.thresholds.critical");
string Critical_recovery = jResp.StringOf("options.thresholds.critical_recovery");
string Ok = jResp.StringOf("options.thresholds.ok");
string Unknown = jResp.StringOf("options.thresholds.unknown");
string Warning = jResp.StringOf("options.thresholds.warning");
string Warning_recovery = jResp.StringOf("options.thresholds.warning_recovery");
string Timeout_h = jResp.StringOf("options.timeout_h");
string overall_state = jResp.StringOf("overall_state");
int priority = jResp.IntOf("priority");
int Last_nodata_ts = jResp.IntOf("state.groups.Lorem_1.last_nodata_ts");
int Last_notified_ts = jResp.IntOf("state.groups.Lorem_1.last_notified_ts");
int Last_resolved_ts = jResp.IntOf("state.groups.Lorem_1.last_resolved_ts");
int Last_triggered_ts = jResp.IntOf("state.groups.Lorem_1.last_triggered_ts");
string Lorem_1Name = jResp.StringOf("state.groups.Lorem_1.name");
string Status = jResp.StringOf("state.groups.Lorem_1.status");
int Nisi_c43Last_nodata_ts = jResp.IntOf("state.groups.nisi_c43.last_nodata_ts");
int Nisi_c43Last_notified_ts = jResp.IntOf("state.groups.nisi_c43.last_notified_ts");
int Nisi_c43Last_resolved_ts = jResp.IntOf("state.groups.nisi_c43.last_resolved_ts");
int Nisi_c43Last_triggered_ts = jResp.IntOf("state.groups.nisi_c43.last_triggered_ts");
string Nisi_c43Name = jResp.StringOf("state.groups.nisi_c43.name");
string Nisi_c43Status = jResp.StringOf("state.groups.nisi_c43.status");
int Minim_cLast_nodata_ts = jResp.IntOf("state.groups.minim_c.last_nodata_ts");
int Minim_cLast_notified_ts = jResp.IntOf("state.groups.minim_c.last_notified_ts");
int Minim_cLast_resolved_ts = jResp.IntOf("state.groups.minim_c.last_resolved_ts");
int Minim_cLast_triggered_ts = jResp.IntOf("state.groups.minim_c.last_triggered_ts");
string Minim_cName = jResp.StringOf("state.groups.minim_c.name");
string Minim_cStatus = jResp.StringOf("state.groups.minim_c.status");
int i = 0;
int count_i = jResp.SizeOfArray("matching_downtimes");
while (i < count_i) {
    jResp.I = i;
    id = jResp.IntOf("matching_downtimes[i].id");
    v_end = jResp.IntOf("matching_downtimes[i].end");
    start = jResp.IntOf("matching_downtimes[i].start");
    j = 0;
    count_j = jResp.SizeOfArray("matching_downtimes[i].scope");
    while (j < count_j) {
        jResp.J = j;
        strVal = jResp.StringOf("matching_downtimes[i].scope[j]");
        j = j + 1;
    }

    i = i + 1;
}

i = 0;
count_i = jResp.SizeOfArray("options.device_ids");
while (i < count_i) {
    jResp.I = i;
    strVal = jResp.StringOf("options.device_ids[i]");
    i = i + 1;
}

i = 0;
count_i = jResp.SizeOfArray("options.notify_by");
while (i < count_i) {
    jResp.I = i;
    strVal = jResp.StringOf("options.notify_by[i]");
    i = i + 1;
}

i = 0;
count_i = jResp.SizeOfArray("options.renotify_statuses");
while (i < count_i) {
    jResp.I = i;
    strVal = jResp.StringOf("options.renotify_statuses[i]");
    i = i + 1;
}

i = 0;
count_i = jResp.SizeOfArray("options.variables");
while (i < count_i) {
    jResp.I = i;
    data_source = jResp.StringOf("options.variables[i].data_source");
    Aggregation = jResp.StringOf("options.variables[i].compute.aggregation");
    Interval = jResp.IntOf("options.variables[i].compute.interval");
    computeMetric = jResp.StringOf("options.variables[i].compute.metric");
    name = jResp.StringOf("options.variables[i].name");
    Query = jResp.StringOf("options.variables[i].search.query");
    j = 0;
    count_j = jResp.SizeOfArray("options.variables[i].group_by");
    while (j < count_j) {
        jResp.J = j;
        facet = jResp.StringOf("options.variables[i].group_by[j].facet");
        limit = jResp.IntOf("options.variables[i].group_by[j].limit");
        sortAggregation = jResp.StringOf("options.variables[i].group_by[j].sort.aggregation");
        sortMetric = jResp.StringOf("options.variables[i].group_by[j].sort.metric");
        Order = jResp.StringOf("options.variables[i].group_by[j].sort.order");
        j = j + 1;
    }

    j = 0;
    count_j = jResp.SizeOfArray("options.variables[i].indexes");
    while (j < count_j) {
        jResp.J = j;
        strVal = jResp.StringOf("options.variables[i].indexes[j]");
        j = j + 1;
    }

    i = i + 1;
}

i = 0;
count_i = jResp.SizeOfArray("restricted_roles");
while (i < count_i) {
    jResp.I = i;
    strVal = jResp.StringOf("restricted_roles[i]");
    i = i + 1;
}

i = 0;
count_i = jResp.SizeOfArray("tags");
while (i < count_i) {
    jResp.I = i;
    strVal = jResp.StringOf("tags[i]");
    i = i + 1;
}

Curl Command

curl -X POST
	-H "Content-Type: application/json"
	-H "Accept: application/json"
	-d '{
  "message": "You may need to add web hosts if this is consistently high.",
  "name": "Bytes received on host0",
  "options": {
    "no_data_timeframe": 20,
    "notify_no_data": true
  },
  "query": "avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100",
  "tags": [
    "app:webserver",
    "frontend"
  ],
  "type": "query alert"
}'
https://api.app.ddog-gov.com/api/v1/monitor

Postman Collection Item JSON

{
  "name": "Create a monitor",
  "request": {
    "method": "POST",
    "header": [
      {
        "key": "Content-Type",
        "value": "application/json"
      },
      {
        "key": "Accept",
        "value": "application/json"
      }
    ],
    "body": {
      "mode": "raw",
      "raw": "{\n  \"message\": \"You may need to add web hosts if this is consistently high.\",\n  \"name\": \"Bytes received on host0\",\n  \"options\": {\n    \"no_data_timeframe\": 20,\n    \"notify_no_data\": true\n  },\n  \"query\": \"avg(last_5m):sum:system.net.bytes_rcvd{host:host0} > 100\",\n  \"tags\": [\n    \"app:webserver\",\n    \"frontend\"\n  ],\n  \"type\": \"query alert\"\n}",
      "options": {
        "raw": {
          "headerFamily": "json",
          "language": "json"
        }
      }
    },
    "url": {
      "raw": "{{baseUrl}}/api/v1/monitor",
      "host": [
        "{{baseUrl}}"
      ],
      "path": [
        "api",
        "v1",
        "monitor"
      ]
    },
    "description": "Create a monitor using the specified options.\n\n#### Monitor Types\n\nThe type of monitor chosen from:\n\n- anomaly: `query alert`\n- APM: `query alert` or `trace-analytics alert`\n- composite: `composite`\n- custom: `service check`\n- event: `event alert`\n- forecast: `query alert`\n- host: `service check`\n- integration: `query alert` or `service check`\n- live process: `process alert`\n- logs: `log alert`\n- metric: `query alert`\n- network: `service check`\n- outlier: `query alert`\n- process: `service check`\n- rum: `rum alert`\n- SLO: `slo alert`\n- watchdog: `event alert`\n- event-v2: `event-v2 alert`\n- audit: `audit alert`\n- error-tracking: `error-tracking alert`\n- database-monitoring: `database-monitoring alert`\n\n**Note**: Synthetic monitors are created through the Synthetics API. See the [Synthetics API] (https://docs.datadoghq.com/api/latest/synthetics/) documentation for more information.\n\n#### Query Types\n\n##### Metric Alert Query\n\nExample: `time_aggr(time_window):space_aggr:metric{tags} [by {key}] operator #`\n\n- `time_aggr`: avg, sum, max, min, change, or pct_change\n- `time_window`: `last_#m` (with `#` between 1 and 10080 depending on the monitor type) or `last_#h`(with `#` between 1 and 168 depending on the monitor type) or `last_1d`, or `last_1w`\n- `space_aggr`: avg, sum, min, or max\n- `tags`: one or more tags (comma-separated), or *\n- `key`: a 'key' in key:value tag syntax; defines a separate alert for each tag in the group (multi-alert)\n- `operator`: <, <=, >, >=, ==, or !=\n- `#`: an integer or decimal number used to set the threshold\n\nIf you are using the `_change_` or `_pct_change_` time aggregator, instead use `change_aggr(time_aggr(time_window),\ntimeshift):space_aggr:metric{tags} [by {key}] operator #` with:\n\n- `change_aggr` change, pct_change\n- `time_aggr` avg, sum, max, min [Learn more](https://docs.datadoghq.com/monitors/create/types/#define-the-conditions)\n- `time_window` last\\_#m (between 1 and 2880 depending on the monitor type), last\\_#h (between 1 and 48 depending on the monitor type), or last_#d (1 or 2)\n- `timeshift` #m_ago (5, 10, 15, or 30), #h_ago (1, 2, or 4), or 1d_ago\n\nUse this to create an outlier monitor using the following query:\n`avg(last_30m):outliers(avg:system.cpu.user{role:es-events-data} by {host}, 'dbscan', 7) > 0`\n\n##### Service Check Query\n\nExample: `\"check\".over(tags).last(count).by(group).count_by_status()`\n\n- `check` name of the check, for example `datadog.agent.up`\n- `tags` one or more quoted tags (comma-separated), or \"*\". for example: `.over(\"env:prod\", \"role:db\")`; `over` cannot be blank.\n- `count` must be at greater than or equal to your max threshold (defined in the `options`). It is limited to 100.\nFor example, if you've specified to notify on 1 critical, 3 ok, and 2 warn statuses, `count` should be at least 3.\n- `group` must be specified for check monitors. Per-check grouping is already explicitly known for some service checks.\nFor example, Postgres integration monitors are tagged by `db`, `host`, and `port`, and Network monitors by `host`, `instance`, and `url`. See [Service Checks](https://docs.datadoghq.com/api/latest/service-checks/) documentation for more information.\n\n##### Event Alert Query\n\nExample: `events('sources:nagios status:error,warning priority:normal tags: \"string query\"').rollup(\"count\").last(\"1h\")\"`\n\n- `event`, the event query string:\n- `string_query` free text query to match against event title and text.\n- `sources` event sources (comma-separated).\n- `status` event statuses (comma-separated). Valid options: error, warn, and info.\n- `priority` event priorities (comma-separated). Valid options: low, normal, all.\n- `host` event reporting host (comma-separated).\n- `tags` event tags (comma-separated).\n- `excluded_tags` excluded event tags (comma-separated).\n- `rollup` the stats roll-up method. `count` is the only supported method now.\n- `last` the timeframe to roll up the counts. Examples: 45m, 4h. Supported timeframes: m, h and d. This value should not exceed 48 hours.\n\n**NOTE** The Event Alert Query is being deprecated and replaced by the Event V2 Alert Query. For more information, see the [Event Migration guide](https://docs.datadoghq.com/events/guides/migrating_to_new_events_features/).\n\n##### Event V2 Alert Query\n\nExample: `events(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg` and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n##### Process Alert Query\n\nExample: `processes(search).over(tags).rollup('count').last(timeframe) operator #`\n\n- `search` free text search string for querying processes.\nMatching processes match results on the [Live Processes](https://docs.datadoghq.com/infrastructure/process/?tab=linuxwindows) page.\n- `tags` one or more tags (comma-separated)\n- `timeframe` the timeframe to roll up the counts. Examples: 10m, 4h. Supported timeframes: s, m, h and d\n- `operator` <, <=, >, >=, ==, or !=\n- `#` an integer or decimal number used to set the threshold\n\n##### Logs Alert Query\n\nExample: `logs(query).index(index_name).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `index_name` For multi-index organizations, the log index in which the request is performed.\n- `rollup_method` The stats roll-up method - supports `count`, `avg` and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n##### Composite Query\n\nExample: `12345 && 67890`, where `12345` and `67890` are the IDs of non-composite monitors\n\n* `name` [*required*, *default* = **dynamic, based on query**]: The name of the alert.\n* `message` [*required*, *default* = **dynamic, based on query**]: A message to include with notifications for this monitor.\nEmail notifications can be sent to specific users by using the same '@username' notation as events.\n* `tags` [*optional*, *default* = **empty list**]: A list of tags to associate with your monitor.\nWhen getting all monitor details via the API, use the `monitor_tags` argument to filter results by these tags.\nIt is only available via the API and isn't visible or editable in the Datadog UI.\n\n##### SLO Alert Query\n\nExample: `error_budget(\"slo_id\").over(\"time_window\") operator #`\n\n- `slo_id`: The alphanumeric SLO ID of the SLO you are configuring the alert for.\n- `time_window`: The time window of the SLO target you wish to alert on. Valid options: `7d`, `30d`, `90d`.\n- `operator`: `>=` or `>`\n\n##### Audit Alert Query\n\nExample: `audits(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg` and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**NOTE** Only available on US1-FED and in closed beta on US1, EU, AP1, US3, and US5.\n\n##### CI Pipelines Alert Query\n\nExample: `ci-pipelines(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**NOTE** CI Pipeline monitors are in alpha on US1, EU, AP1, US3, and US5.\n\n##### CI Tests Alert Query\n\nExample: `ci-tests(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**NOTE** CI Test monitors are available only in closed beta on US1, EU, AP1, US3, and US5.\n\n##### Error Tracking Alert Query\n\nExample(RUM): `error-tracking-rum(query).rollup(rollup_method[, measure]).last(time_window) operator #`\nExample(APM Traces): `error-tracking-traces(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**Database Monitoring Alert Query**\n\nExample: `database-monitoring(query).rollup(rollup_method[, measure]).last(time_window) operator #`\n\n- `query` The search query - following the [Log search syntax](https://docs.datadoghq.com/logs/search_syntax/).\n- `rollup_method` The stats roll-up method - supports `count`, `avg`, and `cardinality`.\n- `measure` For `avg` and cardinality `rollup_method` - specify the measure or the facet name you want to use.\n- `time_window` #m (between 1 and 2880), #h (between 1 and 48).\n- `operator` `<`, `<=`, `>`, `>=`, `==`, or `!=`.\n- `#` an integer or decimal number used to set the threshold.\n\n**NOTE** Database Monitoring monitors are in alpha on US1."
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